Mamatha Bhat

5.5k citations
173 papers · 3.6k · 2 hit papers · h-index 31

Impact in

  • Hepatology top 0.5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Liver Disease and Transplantation 64
    • Hepatocellular Carcinoma Treatment and Prognosis 17
    • Liver Diseases and Immunity 12
    • Organ Transplantation Techniques and Outcomes 57
    • Transplantation: Methods and Outcomes 10

Mamatha Bhat

152 papers receiving 3.5k citations

Mamatha Bhat's Hit Papers

Artificial intelligence, machine learning, and deep learning in liver transplantation 2023 · 104 citations
1040+3+7Years since publication100200300400500

Peers

Mamatha Bhat
Comparison fields: 5 of 148
  • Hepatology 1.3k
  • Transplantation 319
  • Health Informatics 54
  • Epidemiology 1.1k
  • Surgery 1.2k
Replace Ali Zarrinpar with:
Ali Zarrinpar United States
Kwang‐Woong Lee South Korea
Jorge Quiroga Spain
Daniel Q. Huang Singapore
Xiaoyu Jia United States
Mario Strazzabosco Italy
Paul Perco Austria
Keyur Patel United States
John Plevris United Kingdom
Michelangelo Fiorentino Italy
Mamatha Bhat relative to Ali Zarrinpar United States Ali Zarrinpar's profile →
Citations per field
00.5×1.5×
Ali Zarrinpar · 1×
Citations per year

Countries citing papers authored by Mamatha Bhat

Since Specialization
Citations

This map shows the geographic impact of Mamatha Bhat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mamatha Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamatha Bhat more than expected).

Fields of papers citing papers by Mamatha Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mamatha Bhat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mamatha Bhat. The network helps show where Mamatha Bhat may publish in the future.

Co-authors

The 25 scholars most cited alongside Mamatha Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mamatha Bhat Line = papers co-authored together Mamatha Bhat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Targeting the translation machinery in cancer
Hit paper breakdown →
2015597
2 2017202
3 2016149
4 2020126
5 2012120
6
Artificial intelligence, machine learning, and deep learning in liver transplantation
Hit paper breakdown →
2023104
7 2013102
8 201969
9 202165
10 201561
11 201861
12 201759
13 201554
14 202251
15 200650
16 201749
17 201848
18 201248
19 201947
20 202345

About Mamatha Bhat

Mamatha Bhat is a scholar working on Hepatology, Surgery, Epidemiology, Molecular Biology and Transplantation, having authored 173 papers that have together received 3.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (66 papers), Liver Disease and Transplantation (64 papers), Organ Transplantation Techniques and Outcomes (57 papers), Renal Transplantation Outcomes and Treatments (28 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Organ Donation and Transplantation (14 papers), Liver Diseases and Immunity (12 papers) and Transplantation: Methods and Outcomes (10 papers). The work is most often cited by research in Hepatology (1.3k citations), Transplantation (319 citations), Health Informatics (54 citations), Epidemiology (1.1k citations) and Surgery (1.2k citations). Mamatha Bhat has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Nahum Sonenberg, Ivan Topisirović, Laura Hulea, Jerry Pelletier, Nathaniel Robichaud, Gonzalo Sapisochín, Anand Ghanekar, Kymberly D. Watt, Nazia Selzner and David Grant. Their work appears in journals such as Liver Transplantation, Transplantation, Clinical Transplantation, Journal of Hepatology and Gastroenterology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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